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Virtualization giant VMware demonstrated its might in addressing what’s become a key barrier of adoption: moving containerized apps into production. Now the question remains whether it can grasp equally important emerging DevOps issues.

Lightweight middleware technologies have paved the way not only for platform services to support continuous and distributed apps, but also for SOA's reinvention as a more fine-grained, componentized set of microservices.

Microsoft has made a series of compelling moves as of late, embracing cloud standards, courting developers and previewing a new container service, part of an effort to position its platform services as more usable than AWS.

Although Microsoft has announced that Azure Stack-powered appliances from key manufacturer partners are now available for pre-ordering, Microsoft must address enduring concerns about its hybrid cloud offering while navigating rising competition.

Why are technology companies like IBM and SAP turning to a 50-year-old design and ideation methodology in order to innovate more rapidly and better respond to customer needs? The reason is simple: to find and then answer the right questions.

At its first annual Leonardo Live event, SAP rolled out a series of enhancements to the Leonardo platform, demonstrating the company’s vertical business acumen and interest in exploring emerging technologies like blockchain.

Cisco’s new “The Network Intuitive” campaign calls for a major rethink of the network that promises self-aware infrastructure driven by business outcomes. But for that to work, Cisco will need to help customers reimagine app development itself.

Application performance management is being reinvented to provide the window into the operations component of DevOps. Developers will have access to this advanced app performance technology via platform services in coming months.

Security, interoperability, complexity and connectivity are issues inhibiting broader IoT adoption, but as businesses seek to roll-out their IoT applications, vendors are responding quickly to improve their products, partnerships and services.

AI is both the present and the future with a plethora of cloud-based cognitive services on offer, but can enterprise buyers make use of these powerful APIs and frameworks without employing an army of data scientists and mathematicians?

Multi-cloud was of course the overriding theme at this year’s Cloud Foundry Summit, but there were also key indicators of a fast expanding ecosystem in light of DevOps’ growing importance throughout the ALM.

Microsoft has made Power BI Premium generally available, allowing buyers to run it behind the firewall as well as bypass user licenses, storage limits, and refresh rates, all of which make Power BI a better fit for larger deployments and ISVs.

App platforms rivals, including IBM, Red Hat, and Oracle are contributing heavily to OSS communities as a way to supplement development tools and frameworks and significantly speed containerization/microservices adoption.

At its annual user conference, customer experience management player Genesys introduced Kate, an AI platform designed not to compete with the likes of IBM Watson or Salesforce.com Einstein, but instead to blend capabilities with those offerings.

Realizing the importance of multi-cloud support among enterprises, SAP is making its SCP PaaS offering available on popular public clouds, hoping to generate interest in high-value services within Leonardo.

SAP has re-launched its SAP Leonardo as an “digital innovation system” intent on blending AI, IoT, big data and the cloud to operationalize advanced, machine learning (ML) capabilities and surface those within line of business workflows.

Microsoft demonstrated numerous technologies at Build 2017, emphasizing the scale, openness and intelligence available to developers surrounding use cases such as IoT. Unfortunately, most of the offerings on display are still in private preview.

Red Hat’s re-energized partnership with Amazon smartly emphasizes AI-driven IT automation as a way to root out the foibles of human decision-making; it also points to a future where operational and business analytics can at last intertwine.

Huawei Analyst Summit 2017: When it comes to big data, Huawei is looking beyond its sizable hardware portfolio, offering instead a cloud platform built on established open source standards augmented by partners focused on select vertical markets.

Containerization is at the intersection of application development and a data center's infrastructure, serving as the foundation for enterprise cloud strategies and innovative services among vendors from PaaS to infrastructure providers.

The seemingly immutable law of data gravity, which has kept massive data stores behind the corporate firewall, is no more. Platform providers are actively redefining such laws, showing that even the largest data lake can live in the clouds.

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